保守主义
心理学
社会心理学
价(化学)
情感(语言学)
领域(数学)
精算学
应用心理学
经济
政治学
政治
量子力学
沟通
数学
物理
法学
纯数学
作者
Jacqueline N. Lane,Misha Teplitskiy,G. Kenneth Gray,Hardeep Ranu,Michael Menietti,Eva C. Guinan,Karim R. Lakhani
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2021-10-28
卷期号:68 (6): 4478-4495
被引量:45
标识
DOI:10.1287/mnsc.2021.4107
摘要
The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information sharing among expert evaluators, plays in generating conservative decisions. We executed two field experiments in two separate grant-funding opportunities at a leading research university, mobilizing 369 evaluators from seven universities to evaluate 97 projects, resulting in 761 proposal-evaluation pairs and more than $250,000 in awards. We exogenously varied the relative valence (positive and negative) of others’ scores and measured how exposures to higher and lower scores affect the focal evaluator’s propensity to change their initial score. We found causal evidence of a negativity bias, where evaluators lower their scores by more points after seeing scores more critical than their own rather than raise them after seeing more favorable scores. Qualitative coding of the evaluators’ justifications for score changes reveals that exposures to lower scores were associated with greater attention to uncovering weaknesses, whereas exposures to neutral or higher scores were associated with increased emphasis on nonevaluation criteria, such as confidence in one’s judgment. The greater power of negative information suggests that information sharing among expert evaluators can lead to more conservative allocation decisions that favor protecting against failure rather than maximizing success. This paper was accepted by Alfonso Gambardella, business strategy.
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